We consider the inverse protein folding problem suggested in [1]}. A target protein 3D backbone conformation is given, and the task is to sample amino acid sequences of a fixed length \(L=40\)  from the Boltzmann distribution corresponding to their energy in the target conformation. The energy is provided by a physics model [2]}, [3]}. The policy model is a 3-layer convolutional architecture that closely follows previous work [1]}.
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